AWS Data Engineer

Role : Data Engineer

Industry Type : IT Services & Consulting

Department : Engineering - Software & QA

Employment Type : Full Time, Permanent

Role Category : Software Development

Experience : 5+ Years

Technical Skill : BigData, AWS, Databricks, redshift, dbt, snowflake, Spark, Python, Scala, & SQL

Roles and Responsibilities :

- 5+ Years of Big Data development experience.

- Hands-on experience of API development (from application / software engineering perspective).

- Advanced level experience (5+ years) building Real time streaming and batch systems using Apache Spark and Kafka in Java programming language.

- Experience with any NoSQL stores (HBase, Cassandra, MongoDB, Influx DB).

- Solid understanding of secure application development methodologies.

- Experience in developing microservices using spring framework is a plus.

- Capable of working as an individual contributor and within team too.

- Design, build & maintain efficient, reusable & reliable code.

- Experience in Hadoop based technologies Java, Hive, Pig, Map Reduce, Spark, python/Scala, Azure.

- Should be able to understand complex architectures and be comfortable working with multiple teams.

- Excellent communication, client engagement and client management skills are strongly preferred.

- Minimum Bachelors degree in Computer Science, Engineering, Business Information Systems, or related field.

Education :

- UG : B.Sc in Any Specialization, Any Graduate, B.C.A. in Any Specialization, B.Tech / B.E. in Computer Science and Engineering (CSE), Computer Science.

Skills

AWS, Data Engineering, Big Data, Databricks, Data Build Tool, Snowflake DB, Python, Scala, SQL, Java, Hadoop